Please use this identifier to cite or link to this item:
https://doi.org/10.1109/CDC.2009.5399702
DC Field | Value | |
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dc.title | On robust modifications for repetitive learning control | |
dc.contributor.author | Yan, R. | |
dc.contributor.author | Xu, J.-X. | |
dc.date.accessioned | 2014-06-19T03:21:10Z | |
dc.date.available | 2014-06-19T03:21:10Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Yan, R., Xu, J.-X. (2009). On robust modifications for repetitive learning control. Proceedings of the IEEE Conference on Decision and Control : 440-445. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2009.5399702 | |
dc.identifier.isbn | 9781424438716 | |
dc.identifier.issn | 01912216 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/71213 | |
dc.description.abstract | In this paper, we develop two algorithms to robustify repetitive learning control (RLC), which deals with periodic tracking tasks for nonlinear dynamical systems with non-parametric uncertainties. The first robustification algorithm is to apply a projection operator to the control input signals directly. The second robustification algorithm is to add a damping term to the learning law. Both algorithms ensure the boundedness of the learning signals. The effectiveness of the proposed robust algorithms are verified through theoretical analysis and validated through a numerical example. ©2009 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CDC.2009.5399702 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/CDC.2009.5399702 | |
dc.description.sourcetitle | Proceedings of the IEEE Conference on Decision and Control | |
dc.description.page | 440-445 | |
dc.description.coden | PCDCD | |
dc.identifier.isiut | 000336893600075 | |
Appears in Collections: | Staff Publications |
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